The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows - a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.
What You'll Do:
Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.
Stay Hands-On: Remain an active technical contributor - designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.
Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.
Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.
Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.
Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.
Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.
Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.
Requirements: Experience: 8+ years of backend engineering experience, with at least 2 years in an engineering leadership role (Tech Lead, Staff Engineer, or Engineering Manager). Strong proficiency in Go and Python.
People Leadership: Demonstrated ability to hire, mentor, and develop engineers at varying levels. Comfortable balancing technical contribution with team management responsibilities.
AI/LLM Experience: Prior experience building workflows powered by LLMs, RAG, or autonomous agents. Strong understanding of agent frameworks and key components including model integration, tool calling patterns, and Model Context Protocol (MCP).
Cloud Expertise: Deep knowledge of at least two major cloud providers (AWS, Azure, or GCP).
Systems Engineering: Strong understanding of distributed systems, scalability, concurrency, and resilient architecture.
Data Proficiency: Solid experience with data modeling, RDBMS (SQL), and distributed caching solutions like Redis.
Education: BS/MS in Computer Science or equivalent professional experience in data structures and algorithms.
This position is open to all candidates.